DocumentCode :
141770
Title :
A Game Model for Predicting the Attack Path of APT
Author :
Xupeng Fang ; Lidong Zhai ; Zhaopeng Jia ; Wenyan Bai
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2014
fDate :
24-27 Aug. 2014
Firstpage :
491
Lastpage :
495
Abstract :
As a major threat today, how to defense against APT (advanced persistent attack) effectively becomes a major issue for network security. APT is a combination of past attacks, not a new one. It´s different from any one of previous attacks. Predicting the attack path of APT exactly would be a breakthrough for the future defense in Internet of things. Firstly, the paper proposes classifications of attack and defense for game model from the perspective of game theory. Then, we present the OAPG model, which uses attack path of APT as the attacker´s strategy. Finally, according to the Nash equilibrium, we compute the optimal attack path for the attacker and best-response strategies for the defender.
Keywords :
Internet of Things; computer network security; game theory; APT; Internet of Things; Nash equilibrium; OAPG model; advanced persistent attack; attack path prediction; game model; game theory; network security; optimal attack path; Buffer overflows; Computational modeling; Correlation; Games; Predictive models; Servers; Telecommunications; Internet of things; attack path; game model; strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5078-2
Type :
conf
DOI :
10.1109/DASC.2014.94
Filename :
6945739
Link To Document :
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